R/cvt.h2.R
In shuangsong0110/LDER: Leveraging LD eigenvalue regression to improve the estimation of SNP heritability and confounding inflation
Defines functions
cvt.h2
cvt.h2 <- function(K,P,h2){
# K: prevalence
# P: proportion of cases
zv <- dnorm(qnorm(K))
h2_liab <- h2 * K^2 * ( 1 - K)^2 / P / (1-P) / zv^2
return(h2_liab)
}
shuangsong0110/LDER documentation built on April 6, 2024, 4:17 a.m.
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Defines functions cvt.h2
cvt.h2 <- function(K,P,h2){
# K: prevalence
# P: proportion of cases
zv <- dnorm(qnorm(K))
h2_liab <- h2 * K^2 * ( 1 - K)^2 / P / (1-P) / zv^2
return(h2_liab)
}
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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